HepaRG™ focused training

HeparRG™ is a unique and well established hepatic cell system able to produce early hepatic progenitor cells as well as completely mature human hepatocytes.

It is a valuable hepatic in-vitro model to be used in:

  • In vitro ADME applications: Inhibition assays, Drug metabolism and clearance, Metabolite Identification, etc.
  • In vitro toxicity testing applications: Hepatotoxicity (reactive metabolites, lipidosis, cholestasis, etc.), Virology (HBV, HCV), Infection with hepatitis and other viruses for replication, etc.
  • Liver-assist devices/BioArtificial Livers
  • Transgenic liver humanized animals populated with HeparRG™ cells

The proposed training offers a theoretical knowledge on the HeparRG™ model combined with hands-on experience and supplemented with data analysis and management. The aim of the workshop is to provide a solid introduction to use, possible application of liver-based in vitro models in combination with the newest approaches towards data annotation, handling and storage.

Target audience: people who are working with in vitro test systems and would like to learn on new models, applications and approaches to data handling, re-use and integration.

Provisional program:

Day 1

8.30h - 8.45h HeparRG™: introductory overview
8.45h - 9.45h Hands-on session: Start exposure experiment in the lab
- Exposure of 3D culture to a cholestatic chemical
9.45h - 10.00h Break
10.00h - 12.00h Applicability examples:
- HepaRG™: as an integrated model for studying bile canalicular dynamics to understand Cholestatic Toxicity
- HepaRG™: as a model used in genotoxicity screening
12.00h -13.00h Lunch break
13.00h - 14.00h SOPs presentation for use of HepaRG™ cells
14.00h -17.00h Practical session
- Seeding of HepaRG cells in 2D and 3D
- Microscopical observation of 2D and 3D cell systems at different day of differentiation ( 12 days /6 days/ 1 day)
- Measurement of drug-induced cholestatic liver injury: Functional assay targeting bile canalicular dynamics

Day 2

8.30h - 9.00h Good Data Management Practices
9.00h - 9.45h EdelweissData
- Introduction to the tool
- Experimental design
- Data annotation and integration
- Data sharing, accessing and analysis
9.45h - 10.00h Break
10.00h - 12.00h Data analysis
- Image analysis- NOAEL/LOAEL/BMD calculations